Errors being missed (as they have to be detected manually) and data being incorrect for longer than is necessary. These impact data integrity and can impact oversight.
Risk Indicator
High percentage of manual queries
Metric
Percent of manual queries
Unit
%
What level should be measured
Study, Country, Site
Comments
Purpose
Can be used at study level to help determine whether appropriate automated queries (e.g., edit checks) have been , monitors the quality of non-numeric data based on e.g. medical review.
Description
Measures the proportion of queries that are raised manually for the study as compared with all queries - including those raised automatically via edit checks. KEITH QUESTION: what does this mean? "Only scheduled visits".
Formula
(Number of Manual Queries) / (Number of Manual Queries + Number of Automatic Queries). Use values from the same date.
Suggested Thresholds - High
>15 %
Suggested Thresholds - Medium
>10 %
Associated Metric 1
Number of Manual Queries
Associated Metric 2
Number of Automatic Queries
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